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Slides0:54EN
Matthew Berman· Sep 16, 2024OpenAI’s o1 Preview: A First Look at Longer ReasoningMatthew Berman · Forward FutureMatthew Berman introduces the o1-preview and o1-mini models and tries a Python game prompt.Models & trainingInference
2 slides35:30EN
Matthew Berman· Sep 6, 2024Reflection 70B: Its Creators Explain the Proposed Self-Correction MethodMatthew Berman, Matt Shumer, Sahil Chaudhary · Forward FutureA launch-day discussion with Matt Shumer and Sahil Chaudhary covers synthetic data, selective reflection and evaluation limits.Models & trainingData quality & curationEvals+2
1:03:46EN
20VC with Harry Stebbings· Sep 4, 2024Podcast · 2 speakersZico Kolter on AI Safety, Scaling and the Limits of Open ModelsGuest Zico Kolter · Host Harry StebbingsThe Carnegie Mellon researcher and OpenAI board member explains why prompt injection worries him, how he thinks about open weights, and why AI progress remains uncertain.AI SafetyPrompt injectionOpen-weight models+2
50:20EN
20VC with Harry Stebbings· Aug 28, 2024Podcast · 2 speakersArvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model BenchmarksGuest Arvind Narayanan · Host Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.Models & trainingScaling LawsAI Safety+2
2 slides9:43EN
Matthew Berman· Aug 26, 2024Matthew Berman Tests Jamba 1.5 on Coding and Reasoning PromptsMatthew Berman · Forward FutureA 2024 hands-on test of AI21’s hybrid model finds slow output in one hosted session and mixed answers to a small set of prompts.Models & trainingEvals
1:03:26EN
20VC with Harry Stebbings· Aug 19, 2024Podcast · 2 speakersAidan Gomez on Model Scaling, Data and Enterprise AIGuest Aidan Gomez · Host Harry StebbingsThe Cohere CEO discusses the economics of foundation models, enterprise adoption, AI agents and the future he hopes the technology will enable.Foundation ModelsModels & trainingEnterprise AI+2
1:33:07ZH → English
Zhang Xiaojun Podcast· Aug 17, 2024Podcast · 2 speakersLi Guangmi on a Year in Global LLMs: Scaling Law, the AGI Bet, and the US–China LandscapeGuest 李广密 · Host 张小珺Drawing on his front-row view from Silicon Valley, Shixiang Capital founder Li Guangmi looks back at the competition among OpenAI, Anthropic, Google, and Chinese model companies. He argues that model capability and cost together will shape the next wave of applications, while today’s enormous investments are bets on whether intelligence can keep scaling and how AI will reshape the economy and industry over the long term.Models & trainingScaling LawsAI research+2
49:41ZH → English
Zhang Xiaojun Podcast· Aug 17, 2024Podcast · 3 speakersFu Sheng: Large Models Are a Productivity Revolution, and Robots Have a New Window of OpportunityGuest 傅盛 · Host 张小珺Fu Sheng sees the heart of large models in their capacity for logic and reasoning. Their impact, he says, is closer to the steam engine than to another round of ordinary internet evolution. He also reflects on open models, service robots, and how entrepreneurs can face difficult periods.AI StrategyModels & trainingRobotics+2
2:04:15EN
Cognitive Revolution "How AI Changes Everything"· Aug 14, 2024PodcastA parrot cannot paraphrase — and Claude cannot be talked into harmHost Nathan LabenzRobert Wright of the Nonzero podcast interviews Nathan Labenz on whether large language models understand anything, what Anthropic’s 10 million features actually show, and why open weights collide with U.S.–China policy.Models & trainingModel InterpretabilityMultimodal AI+3
2 slides16:06EN
Matthew Berman· Aug 9, 2024Q* and Strawberry: What Was Known and Speculated in August 2024Matthew Berman · Forward FutureMatthew Berman reviews contemporary rumors and research concepts around reasoning, search and self-play, while the underlying project remained undisclosed.Models & trainingAI researchAGI
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· Aug 1, 2024Podcast · 2 speakersOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedHost Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.Models & trainingAGI TimelinesPretraining & midtraining+3
3 slides13:40EN
Matthew Berman· Jul 29, 2024Testing Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.Open-weight modelsEvalsModels & training+1
4 slides15:50EN
Matthew Berman· Jul 23, 2024Llama 3.1: Meta’s 405B Model and the Open-Weight EcosystemMatthew Berman · Forward FutureMatthew Berman reviews Meta’s July 2024 release, the smaller models, reported benchmarks, synthetic data and the proposed Llama Stack.Open-weight modelsModels & trainingBenchmarks+2
0:58EN
Matthew Berman· Jul 11, 2024NVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.Infrastructure & deploymentModels & training
6 slides18:57EN
Matthew Berman· Jul 9, 2024AI News in July 2024: Small Models, Voice Tools and OpenAI SecurityMatthew Berman, Andrej Karpathy · Forward FutureMatthew Berman reviews AI product announcements, model evaluation and security reporting, and shares his predictions about the future of computing.AI researchModels & trainingAI security+2
1:42:16EN
Cognitive Revolution "How AI Changes Everything"· Jul 4, 2024Podcast267 Papers in Seven Months: Albert Gu Explains the State Space Model RevolutionHost Nathan LabenzThe Mamba co-author walks through five years of recurrent-model work, why selective compression beats a growing KV cache, and what Mamba 2 trades away to train faster.Models & trainingTransformers & attentionInference+3
5 slides13:30EN
Matthew Berman· Jul 2, 2024AI News in July 2024: Smart Glasses, Robot Skin and Model RoutingMatthew Berman, Mark Zuckerberg · Forward FutureMatthew Berman surveys early plans for AI glasses, robotics demonstrations, generative video and RouteLLM's model-routing results.RoboticsAI agentsModels & training+2
34:09EN
No Priors: AI, Machine Learning, Tech, & Startups· Jun 27, 2024Podcast · 2 speakersFive Independent Teams Found the Same 10-to-1 Mix That Beats TransformersHost Sarah Guo, Elad GilThe authors of S4 and Mamba argue that mostly state-space layers plus a dash of attention is the architecture that actually works—and they are shipping it first as real-time speech.Models & trainingTransformers & attentionVoice AI+3
1:54:01EN
Cognitive Revolution "How AI Changes Everything"· Jun 26, 2024PodcastA Tiny Network Grew a Salt Crystal the Training Data Never ShowedHost Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.Models & trainingAI for scienceML fundamentals+3
58:18EN
20VC with Harry Stebbings· Jun 24, 2024Podcast · 2 speakersDavid Luan on Model Scaling, AI Agents and Competition Across the Chip StackGuest David Luan · Host Harry StebbingsThe Adept co-founder explains his views on compute, vertical integration, enterprise agents and why human interaction should shape AI product design.AI agentsModels & trainingSemiconductors+2
1:37:07EN
Cognitive Revolution "How AI Changes Everything"· Jun 22, 2024PodcastA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.Host Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.Models & trainingAI in healthcareMultimodal AI+3
4 slides16:11EN
Matthew Berman· Jun 22, 2024AI News in June 2024: SSI, Tree Search, Meta, Claude and ARC PrizeMatthew Berman · Forward FutureMatthew Berman reviews new AI research, product launches and a competition, with context on historical benchmarks and uncertain claims.AI researchModels & trainingAI Safety+2
5 slides13:18EN
Matthew Berman· Jun 20, 2024Testing Local AI on a Dual RTX 6000 WorkstationMatthew Berman · Forward FutureMatthew Berman tests language models, concurrent inference, and image generation on a Dell Precision tower supplied by Dell and NVIDIA.Local inferenceInferenceModels & training+2
27:37EN
Matthew Berman· Jun 17, 2024Leo Pekelis on Extending Llama 3 to a Million-Token ContextMatthew Berman, Leo Pekelis · Forward FutureGradient’s chief scientist explains long-context training, coding use cases, inference costs and why retrieval benchmarks tell only part of the story.Context engineeringModels & trainingInference+2
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